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Hierarchical predictive control of integrated wastewater treatment systems

Abstract

The paper proposes an approach to designing the control structure and algorithms for optimising control of integrated wastewater treatment plant-sewer systems (IWWTS) under a full range of disturbance inputs. The optimised control of IWWTS allows for significant cost savings, fulfilling the effluent discharge limits over a long period and maintaining the system in sustainable operation. Due to the specific features of a wastewater system a hierarchical control structure is applied. The functional decomposition leads to three control layers: supervisory, optimising and follow-up. A temporal decomposition that is applied in order to efficiently accommodate the system's multiple time scales leads to further decomposition of the optimising control layer into three control sublayers: slow, medium, and fast. An extended Kalman Filter is used to carry out an estimation of needed but not measured plant states in real time. The robustly feasible model predictive controller produces manipulated variable trajectories based on a dedicated grey box (GB) model of the biological processes and drawing its physical reality from the well known ASM2d model. The GB model parameters are dependant on the plant operating point and therefore are continuously estimated.

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Category:
Articles
Type:
artykuł w czasopiśmie wyróżnionym w JCR
Published in:
CONTROL ENGINEERING PRACTICE no. 16, pages 751 - 767,
ISSN: 0967-0661
Language:
English
Publication year:
2008
Bibliographic description:
Brdyś M., Grochowski M., Gmiński T., Konarczak K., Drewa M.: Hierarchical predictive control of integrated wastewater treatment systems// CONTROL ENGINEERING PRACTICE. -Vol. 16, nr. no 6 (2008), s.751-767
DOI:
Digital Object Identifier (open in new tab) 10.1016/j.conengprac.2007.01.008
Verified by:
Gdańsk University of Technology

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